TY - JOUR
T1 - On the feasibility of distributed process mining in healthcare
AU - Gatta, Roberto
AU - Vallati, Mauro
AU - Lenkowicz, Jacopo
AU - Masciocchi, Carlotta
AU - Cellini, Francesco
AU - Boldrini, Luca
AU - Llatas, Carlos Fernandez
AU - Valentini, Vincenzo
AU - Damiani, Andrea
PY - 2019
Y1 - 2019
N2 - Process mining is gaining significant importance in the healthcare domain, where the quality of services depends on the suitable and efficient execution of processes. A pivotal challenge for the application of process mining in the healthcare domain comes from the growing importance of multi-centric studies, where privacy-preserving techniques are strongly needed. In this paper, building on top of the well-known Alpha algorithm, we introduce a distributed process mining approach, that allows to overcome problems related to privacy and data being spread around. The introduced technique allows to perform process mining without sharing any patients-related information, thus ensuring privacy and maximizing the possibility of cooperation among hospitals.
AB - Process mining is gaining significant importance in the healthcare domain, where the quality of services depends on the suitable and efficient execution of processes. A pivotal challenge for the application of process mining in the healthcare domain comes from the growing importance of multi-centric studies, where privacy-preserving techniques are strongly needed. In this paper, building on top of the well-known Alpha algorithm, we introduce a distributed process mining approach, that allows to overcome problems related to privacy and data being spread around. The introduced technique allows to perform process mining without sharing any patients-related information, thus ensuring privacy and maximizing the possibility of cooperation among hospitals.
KW - Distributed learning
KW - Healthcare
KW - Process mining
KW - Distributed learning
KW - Healthcare
KW - Process mining
UR - http://hdl.handle.net/10807/203504
U2 - 10.1007/978-3-030-22750-0_36
DO - 10.1007/978-3-030-22750-0_36
M3 - Conference article
SN - 0302-9743
VL - 11540
SP - 445
EP - 452
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
T2 - 19th International Conference on Computational Science, ICCS 2019
Y2 - 12 June 2019 through 14 June 2019
ER -